Material Engineering and Mechanical Manufacturing

Multi-objective optimization algorithm for geometric reconstruction of precision forged blade

  • FENG Yazhou ,
  • REN Junxue ,
  • LIANG Yongshou ,
  • LIU Mingshan
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  • Key Laboratory of Contemporary Design and Integrated Manufacturing Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an 710072, China

Received date: 2017-11-06

  Revised date: 2018-03-19

  Online published: 2018-03-19

Supported by

National Science and Technology Major Project (2013ZX04011031)

Abstract

The precision forging technology is the favored means to improve the machining accuracy and efficiency of aero-engine blade manufacturing. However, there is still a certain geometric deviation between the forged blade surface and the design model, causing the edges of the blade machined based on the design model cannot match well with the blade body. To solve this issue, a geometric reconstruction method for adaptive machining of the precision forged blade is proposed. The objective function of match is established based on the tolerance constraint, and the Particle Swarm Optimization (PSO) algorithm for solving this objective function is presented. A smoothing reconstruction algorithm is proposed to predict the profile of the edge shape based on deformation trend of the blade surface. Experiments verify effectiveness of the approach and algorithm proposed in this paper. The results show that this method can reconstruct a qualified model for high-efficiency and precision requirements of adaptive machining of the precision forged blade. This approach is finally verified with a precision forged blade by the adaptive CNC machining.

Cite this article

FENG Yazhou , REN Junxue , LIANG Yongshou , LIU Mingshan . Multi-objective optimization algorithm for geometric reconstruction of precision forged blade[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2018 , 39(7) : 421844 -421844 . DOI: 10.7527/S1000-6893.2018.21844

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